ARITHMETIC PROCESSING DEVICE AND SYSTEM TO REALIZE MULTI-LAYER CONVOLUTIONAL NEURAL NETWORK CIRCUIT TO PERFORM PROCESS WITH FIXED-POINT NUMBER FORMAT

摘要

An arithmetic processing device to realize a multi-layer convolutional neural network circuit to perform a process with fixed-point number format, according to an embodiment comprising: a processing circuitry and a memory, the processing circuitry conducting: a learning process to perform weight learning or bias learning using learning data stored the memory to calculate initial weight values and initial bias values of the multi-layer convolutional neural network circuit; a trial recognition process to perform a recognition process to part of the learning data or of input data using the initial weight values and the initial bias values; a processing treatment process to multiply the initial weight values and the initial bias values by a positive constant to calculate processed weight values or processed bias values; and a recognition process to perform a recognition process using the processed weight values and the processed bias values.